Share Email Print
cover

Proceedings Paper

A computer simulation model to compute the radiation transfer of mountainous regions
Author(s): Yuguang Li; Feng Zhao; Rui Song
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In mountainous regions, the radiometric signal recorded at the sensor depends on a number of factors such as sun angle, atmospheric conditions, surface cover type, and topography. In this paper, a computer simulation model of radiation transfer is designed and evaluated. This model implements the Monte Carlo ray-tracing techniques and is specifically dedicated to the study of light propagation in mountainous regions. The radiative processes between sun light and the objects within the mountainous region are realized by using forward Monte Carlo ray-tracing methods. The performance of the model is evaluated through detailed comparisons with the well-established 3D computer simulation model: RGM (Radiosity-Graphics combined Model) based on the same scenes and identical spectral parameters, which shows good agreements between these two models' results. By using the newly developed computer model, series of typical mountainous scenes are generated to analyze the physical mechanism of mountainous radiation transfer. The results show that the effects of the adjacent slopes are important for deep valleys and they particularly affect shadowed pixels, and the topographic effect needs to be considered in mountainous terrain before accurate inferences from remotely sensed data can be made.

Paper Details

Date Published: 8 October 2011
PDF: 12 pages
Proc. SPIE 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, 817426 (8 October 2011); doi: 10.1117/12.897881
Show Author Affiliations
Yuguang Li, Beijing Univ. of Aeronautics and Astronautics (China)
Feng Zhao, Beijing Univ. of Aeronautics and Astronautics (China)
Rui Song, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 8174:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII
Christopher M. U. Neale; Antonino Maltese, Editor(s)

© SPIE. Terms of Use
Back to Top